Senior Tech Lead overseeing Qliro’s Pay Later systems and services. Leading engineering teams and shaping technical direction for scalable solutions across the Nordics.
About the role
- Scrum Master + Business Analyst leading delivery excellence across AI, Data Engineering, and Data Science at Egon Zehnder. Collaborating on enterprise-wide projects to modernize data platforms and AI solutions.
Responsibilities
- Lead Scrum ceremonies (sprint planning, reviews, retros, stand-ups) for AI, Data Engineering, and Data Science streams.
- Maintain high delivery velocity, clear sprint goals, and predictable throughput across multiple squads.
- Identify delivery risks early; manage dependencies, blockers, and cross-team integration issues.
- Track team KPIs (velocity, spillover, cycle time) and drive continuous improvement.
- Ensure alignment with the overall AI/Data roadmap and architectural guardrails.
- Work closely with stakeholders to translate business needs into clear functional and technical requirements, especially for:
- Azure Databricks Data Platform modernization
- Azure AI Search & Vector Search capabilities
- GenAI use cases (summarization, search, copilots)
- EZ Copilot and Microsoft 365 Copilot extensions
- Create user stories, acceptance criteria, data flow specs, and feature definitions.
- Document end-to-end workflows, domain processes, and source–target mappings.
- Work with engineering leaders to refine backlog items and prioritize deliverables.
- Support UAT planning, user enablement, and version rollout coordination.
- Partner with the Data Architect, DS Manager, and Tech Leads to ensure designs align with our future-state architecture.
- Collaborate with security, compliance, and architecture forums to ensure alignment with firmwide guidelines.
- Track milestones, budget consumption, and project health for Data Intelligence (DE + DS).
- Drive communication with senior leadership and consulting teams on progress and upcoming releases.
Requirements
- 12+ years of experience in Scrum Master, Agile Delivery, or Business Analysis roles.
- Strong experience working with AI/ML teams, data engineering teams, or cloud platform projects.
- Solid understanding of Azure technologies, ideally:
- Azure Databricks & Unity Catalog
- Azure Data Lake
- Azure Machine Learning (optional)
- Azure AI Search / Vector Search
- Azure OpenAI Service
- Ability to write high-quality user stories, EPICs, process flows, and acceptance criteria.
- Proven record of running large programs with multiple dependencies.
- Excellent communication, influencing, and stakeholder management skills.
- Experience in environments with GenAI or enterprise AI solutions is a strong plus.
- Certifications preferred: CSM, PSM, PMI-ACP, or IIBA/CBAP.
Benefits
- 5 Days working in a Fast-paced work environment
- Work directly with the senior management team
- Reward and Recognition
- Employee friendly policies
- Personal development and training
- Health Benefits, Accident Insurance
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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